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相关概念视频

Insomnia01:27

Insomnia

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Insomnia is a prevalent sleep disorder characterized by difficulty falling asleep, frequent awakenings during the night, and waking up too early without being able to return to sleep. People with insomnia often experience these disruptions at least three nights a week for at least one month. Chronic insomnia, which lasts for at least three months, can lead to increased anxiety, which in turn can worsen sleep difficulties, creating a cycle of sleeplessness and stress.
Multiple factors contribute...
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Management of Insomnia01:19

Management of Insomnia

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The sleep cycle, an integral part of human health, consists of several stages with distinct characteristics and functions. It begins with a transition from wakefulness to sleep, known as the light sleep phase, followed by the restorative deep sleep phase, essential for physical recovery and growth. The cycle concludes with the Rapid Eye Movement (REM) phase, characterized by high brain activity and vivid dreaming. Insomnia, a prevalent sleep disorder, involves difficulty falling asleep, staying...
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Classifying Matter by Composition03:35

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Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
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Classifying Matter by State02:49

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Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
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Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
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失眠-LCA分类器:使用隐性类分析进行失眠亚型分类的开放网页应用程序.

Matteo Carpi1, Daniel Ruivo Marques2

  • 1Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy.

Sleep medicine
|February 2, 2026
PubMed
概括

本研究介绍了失眠-LCA分类器,这是一个网络工具,可以根据失眠严重性指数 (ISI) 响应分配失眠亚型. 它使数据驱动的失眠表型在研究中的实际应用和测试成为可能.

关键词:
临床的表型化 临床的表型化失眠是一种失眠.失眠严重程度指数 失眠严重程度指数隐藏类分析 隐藏类分析可复制性 可复制性这是一个Web应用程序.

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科学领域:

  • 精神病学和行为科学 精神病学和行为科学
  • 计算心理学 计算心理学

背景情况:

  • 失眠异质性使诊断和治疗复杂化.
  • 隐性类分析 (LCA) 已经确定了不同的失眠亚型.
  • 以前的LCA发现仅限于原始数据集,阻碍了更广泛的应用.

研究的目的:

  • 开发一个实用的,开源的工具来分类失眠的亚型.
  • 通过失眠严重性指数 (ISI) 实现LCA衍生的表型的部署和测试.

主要方法:

  • 开发了失眠-LCA分类器,一个网络应用程序.
  • 从之前的LCA研究中利用了类先验和条件响应概率.
  • 应用了分类器来为四个已识别的亚型分配新的ISI配置文件:没有失眠 (NI),小值失眠 (SI),高失眠风险 (HI) 和 predominant daytime symptoms (DS).
  • 启用了ISI响应的个人和批量处理.

主要成果:

  • 在重新分类原始数据集时,分类器表现出高精度 (精度=0.999) 和可靠性 (科恩卡帕=0.999).
  • 工具生成的合成配置文件的行为符合预期.
  • 输出包括类概率,模式分配,ISI分数和个人资料比较.

结论:

  • 失眠-LCA分类器是一个实用且可重复的工具.
  • 在临床研究中促进失眠亚型的应用和验证.
  • 有助于理解和利用数据驱动的失眠表型.